Mihir Prabhudesai

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 36 citations into it
• Generative Models — 30 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Mihir Prabhudesai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Y. Ng
8. Ilya Sutskever
9. Radford M. Neal
10. Ross B. Girshick

Papers from Mihir Prabhudesai's perspective

Ordered by how strongly the researchers Mihir Prabhudesai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Your Diffusion Model is Secretly a Zero-Shot Classifier (2023) — 371 citations